Draft:PostDICOM

☆ Save On Wikipedia ↗
  • Comment: I reached the view that this was AI assisted (or similar tool) wording before I read the history of the article. The phrases are exactly those used by assistive technology. This was not an entirely human produced draft in my view: The platform has been integrated into clinical research workflows for dataset curation and remote image review - that is not how humans write. and it is using AI implied promotional terms such as "curation". Overall this is an attempt at promoting the product rather than being an encyclopedia entry. ChrysGalley (talk) 07:55, 28 June 2026 (UTC)

PostDICOM is a cloud-based picture archiving and communication system (PACS) and medical image viewer. Operated by postDICOM B.V. and based in Roermond, Netherlands, the platform allows clinical professionals and researchers to store, distribute, and view DICOM files using standard web browsers without requiring local server hardware infrastructure.[1]

Software Capabilities

The system interfaces with multiple diagnostic imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, X-ray, and positron emission tomography (PET). Its web-based interface supports basic and advanced visualization tools, including multiplanar reconstruction (MPR), maximum-intensity projection (MIP), 3D volume rendering, data anonymization tools, and link-based image sharing.[2][1]

Technical Evaluations

In a comparative review published in the Journal of Imaging Informatics in Medicine, PostDICOM was evaluated alongside 15 other web-based medical image viewers. The testing assessed user interface capabilities, 2D and 3D features, and browser-specific rendering speeds.[3]

The analysis noted that PostDICOM requires medical files to be completely uploaded to cloud servers before rendering begins, and browser or hardware configurations heavily affected overall performance. Ultimately, the platform met 20 out of the 29 evaluated technical metrics, placing its features behind open-source options like OHIF and proprietary systems like MedDream within the study's overall metric comparison.[3]

Medical Research and Applications

The platform has been integrated into clinical research workflows for dataset curation and remote image review:

  • Data Management and AI Preparation: A 2021 study in Insights into Imaging evaluated how the software handled large-scale data curation, specifically confirming its ability to interpret DICOM-SEG (segmentation) and DICOM-SR (structured reporting) formats.[4] It was subsequently indexed in the journal Physica Medica as an open-access cloud utility suitable for removing patient identifiers during machine learning dataset training.[5]
  • Clinical Evaluation: Researchers evaluating the long-term reliability of total elbow arthroplasty utilized the cloud viewer to allow independent observers to audit anonymized post-operative radiographs.[6]
  • Paleoradiology Case Study: In 2025, the platform provided the remote viewing infrastructure for an international team of scientists reviewing a disputed Egyptian "pregnant mummy" claim. Radiologists used PostDICOM's cloud PACS over a three-month window to analyze 701 pelvic CT scans via volume rendering and multiplanar reformats, ultimately refuting the initial anatomical claim.[7]

References

  1. "Best DICOM Viewers for Medical Imaging." Encord Blog. https://encord.com/blog/best-dicom-viewers/
  2. "Best DICOM Viewers for Medical Images." V7 Labs Blog. https://www.v7labs.com/blog/best-dicom-viewers
  3. Faria, P., et al. (2024). "Web-Based DICOM Viewers: A Survey and a Performance Classification." Journal of Imaging Informatics in Medicine, 38(3), 1304-1322. https://pubmed.ncbi.nlm.nih.gov/39349783/
  4. Mildenberger, P., et al. (2021). "How does DICOM support big data management? Investigating its use in medical imaging community." Insights into Imaging, 12(1). https://pmc.ncbi.nlm.nih.gov/articles/PMC8574146/
  5. "Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools." Physica Medica / ScienceDirect (2021). https://www.sciencedirect.com/science/article/pii/S1120179721000958
  6. "Reliability of radiologic assessment following total elbow arthroplasty." Journal of Shoulder and Elbow Surgery / ScienceDirect (2025). https://www.sciencedirect.com/science/article/pii/S105827462500093X
  7. "Radiologists help refute ‘pregnant mummy’ claim." AuntMinnie (2025). https://www.auntminnie.com/clinical-news/ct/article/15738762/radiologists-help-refute-pregnant-mummy-claim

Category:Medical imaging software Category:Cloud applications